整体单词识别算法的细节 [英] Holistic Word Recognition algorithm in detail

问题描述

在哪里可以找到算法的详细信息整体单词识别？我需要建立一个简单的OCR系统的硬件（FPGA中实际上）和科学期刊上似乎很抽象？

Where Can I find algorithm details for holistic word recognition? I need to build a simple OCR system in hardware (FPGAs actually), and the scientific journals seems so abstract?

是否有任何开源（开核）codeS的整体单词识别？

Are there any open source (open core) codes for holistic word recognition?

感谢

推荐答案

有关一种算法，比较适合FPGA实现的（易并行），你可能看：

For an algorithm that is quite suitable for FPGA implementation (embarrassingly parallel) you might look at:

http://en.wikipedia.org/wiki/Cross-correlation

这是快，而且容易实现。

It is fast, and easily implemented.

唯一的一点是：它承认形状（在你的情况下，一些文本）依赖于旋转和尺寸/拉伸/扭曲等等。但如果这不是一个问题，它可以是非常快的，是相当强大的。你应该只注意跨pretation问题的字符是相似的（如O和C）。

The only thing is: it recognizes a shape (in your case some text) DEPENDENT of the rotation and size / stretch / skew etc. But if that isn't a problem, it can be very fast and is quite robust. You should only watch out for interpretation problems with characters that are similar (like o and c).

我用它来寻找默认文本扫描的形式获得轴承的地方利益的地区都和搜索这些图片（6M像素）只用了大约15毫秒，我们的实现在单个线程酷睿2 CPU。

I used it to find default texts on scanned forms to obtain bearings where Region of Interests are and searching in those images (6M pixels) only took around 15 ms with our implementation on a Core2 CPU in a single thread.

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